Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

This paper reviews natural language processing (NLP) from the late 1940's to the present,
seeking to identify its successive trends as these reflect concerns with different problems or …

With the widespread adoption of deep learning, natural language processing (NLP), and
speech applications in various domains such as finance, healthcare, and government and …

Abstract The LinGO (Linguistic Grammars Online) project's English Resource Grammar and
the LKB grammar development environment are language resources which are freely …

This paper describes an experimental comparison of seven different learning algorithms on
the problem of learning to disambiguate the meaning of a word from context. The algorithms …

We describe work toward the construction of a very wide-coverage probabilistic parsing
system for natural language (NL), based on LR parsing techniques. The system is intended …

We present a critical overview of the state-of-the-art in parser evaluation methodologies and
metrics. A discussion of their relative strengths and weaknesses motivates a new—and we …

This chapter presents standardized mean scores for individual linguistic features in the
medical corpus relative to the general distributions found in the contemporary reference …

This thesis proposes a robust, hybrid, deep-syntatic dependency-based parsing architecture
and presents its implementation and evaluation. The architecture and the implementation …

We describe a methodology and associated software system for the construction of a large
lexicon from an existing machine-readable (published) dictionary. The lexicon serves as a …